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Maximum Likelihood Estimation of Polyserial Correlations

Published online by Cambridge University Press:  01 January 2025

Sik-Yum Lee  and
Wai-Yin Poon
Sik-Yum Lee*
Affiliation:
The Chinese University of Hong Kong
Wai-Yin Poon
Affiliation:
The Chinese University of Hong Kong
*
Requests for reprints should be sent to Sik-Yum Lee, Department of Statistics, The Chinese University of Hong Kong, Shatin, N. T., HONG KONG.
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Abstract

This paper considers a multivariate normal model with one of the component variables observable only in polytomous form. The maximum likelihood approach is used for estimation of the parameters in the model. The Newton-Raphson algorithm is implemented to obtain the solution of the problem. Examples based on real and simulated data are reported.

Keywords

polytomous variablepolyserial correlationthresholdsmaximum likelihoodNewton-Raphson algorithmsimulation

Information

Type
Original Paper
Information
Psychometrika , Volume 51 , Issue 1 , March 1986 , pp. 113 - 121
Copyright
Copyright © 1986 The Psychometric Society

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Footnotes

The research of the first author was supported in part by a research grant (DA01070) from the US Public Health Service. We are indebted to the referees and the editor for some very valuable comments and suggestions.

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